Applied Statistics using R with Data Processing

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Applied Statistics using R with Data Processing

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 1.03 GB

Duration: 2 hours | Genre: eLearning | Language: English

 

Applied Statistics with R

 

What you'll learn

 

Applied Statistics using R

 

Requirements

 

Fundamentals R programming

 

Description

 

This is the bite size course to learn R Programming for Applied Statistics. In CRISP DM data mining process, Applied Statistics is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.

 

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for applied statistics and you will be able

 

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :

 

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

 

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

 

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

 

- Machine Learning with R (Modeling and Evaluation)

 

Content

 

Getting Started

 

Getting Started 2

 

Getting Started 3

 

Data Mining Process

 

Download Data set

 

Read Data set

 

Mode

 

Median

 

Mean

 

Range

 

Range 2

 

Range 3

 

IQR

 

Qunatile

 

Population Variance

 

Sample Variance

 

Variance

 

Standard Deviation

 

Normal Distribution

 

Skewness and Kurtosis

 

Summary() and Str()

 

Correlation

 

Covariance

 

Inferential Statistics Tests

 

One Sample T Test

 

Two Sample Unpaired T Test

 

Two Sample Unpaired T Test (Variance not Equal)

 

Two Sample Paired T Test

 

Chi Square Test

 

One Way ANOVA

 

Two Way ANOVA

 

MANOVA

 

Simple Linear Regression

 

Multiple LInear Regression

 

Data Processing: Select Variables

 

Data Processing: Sort Data

 

Data Processing: Filter Data

 

Data Processing: Remove Missing Values and Remove Duplicates

 

References:

 

This course is actually based on the Learn R for Applied Statistics book I have published at Apress.

 

Who this course is for:

 

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